Nathan Medd
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Insect Science top 5%
- Insect-Plant Interactions and Control
Papers in
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- Insect-Plant Interactions and Control 3
- Insect symbiosis and bacterial influences 2
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- Genomics and Phylogenetic Studies 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Emily Scher (2 shared papers)Áine O’Toole (2 shared papers)Verity Hill (2 shared papers)Ben Jackson (2 shared papers)David M. Aanensen (2 shared papers)Oliver G. Pybus (2 shared papers)Andrew Rambaut (2 shared papers)Louis du Plessis (2 shared papers)
- Journals
- Virus Evolution (2 papers)Pest Management Science (1 paper)PLoS Pathogens (1 paper)Phytoparasitica (1 paper)Apollo (University of Cambridge) (1 paper)
- Partner nations
- United KingdomSwitzerlandAustralia
In The Last Decade
Nathan Medd
6 papers receiving 701 citations
Nathan Medd's Hit Papers
Peers
Comparison fields: 5 of 57
- Infectious Diseases 462
- Insect Science 114
- Animal Science and Zoology 90
- Modeling and Simulation 36
- Molecular Biology 177
Countries citing papers authored by Nathan Medd
This map shows the geographic impact of Nathan Medd's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nathan Medd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Medd more than expected).
Fields of papers citing papers by Nathan Medd
This network shows the impact of papers produced by Nathan Medd. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nathan Medd. The network helps show where Nathan Medd may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Medd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool Hit paper breakdown → | 2021 | 563 |
| 2 | 2018 | 56 | |
| 3 | 2018 | 46 | |
| 4 | 2015 | 31 | |
| 5 | 2014 | 16 | |
| 6 | 2021 | 1 |
About Nathan Medd
Nathan Medd is a scholar working on Insect Science, Molecular Biology, Plant Science, Ecology and Public Health, Environmental and Occupational Health, having authored 6 papers that have together received 713 indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (3 papers), Genomics and Phylogenetic Studies (2 papers), Insect symbiosis and bacterial influences (2 papers), Insect Pest Control Strategies (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper), Plant Virus Research Studies (1 paper), Mosquito-borne diseases and control (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Infectious Diseases (462 citations), Insect Science (114 citations), Animal Science and Zoology (90 citations), Modeling and Simulation (36 citations) and Molecular Biology (177 citations). Nathan Medd has collaborated with scholars based in United Kingdom, Switzerland and Australia. Frequent co-authors include Emily Scher, Áine O’Toole, Verity Hill, Ben Jackson, David M. Aanensen, Oliver G. Pybus, Andrew Rambaut, Louis du Plessis, Edward C. Holmes and Corin Yeats. Their work appears in journals such as Virus Evolution, Pest Management Science, PLoS Pathogens, Phytoparasitica and Apollo (University of Cambridge).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.